AI-powered clinical data processing for proactivemanagement of cardiovascular patients
We help physicians make Evidence-Based Medicine decisions and control achievements of treatment targets to prevent each cardiovascular patient from adverse events (Myocardial Infarction, Heart attack, Stroke)
AGENT FOR GP’s LLM AI ASSISTANTS and VOICE ASSISTANTS:
✜Easy touse forrelevant clinical information search inside EHR ✜Enhancing theVoice Assistant forSmarter Patient Data Collection ✜Recommendations forGP tofully collect orcorrect patient data based oninput voice assistant
✜An invaluable tool for primary care practitioners that supports them in prescribing the most effective treatment with evidence-based principles and real-world data
✜Preparation of interactive analytical dashboards forcomprehensive overview and generation ofindividual reports forproactive management
TheeMedSupport digitaltwin enables apatient-centric and value-based approach throughoutevery stage ofthecarecontinuum
✜Screening, Identification of high-risk patients and diagnosis ✜Early detection with AI-prediction of LDL-C level and GFR ✜Personalized treatment recommendation according toclinical guidelines and CVrisks prognosis based onprescribed therapy ✜Therapy progress monitoring with treatment goals achievementtracking ✜Disease management through hospitalization and adverse events prevention
HEALTH AUTHORITIES Quality of medical care improvement and costs reduction
✜ Risk assessment for identification of patients not achieving treatment goals ✜ AI prediction of indicators missing in theEHR andselection ofpatients with prognostic deviations inLDL-C,EF and GFR ✜ Management ofhigh-risk chronicCV patients through treatment strategy recommendationfor optimal goals treatment achievement
PUBLIC AND PRIVATE CLINICS +30% additional consultations and tests for treatment target achievement
✜ Automatization of EHRs analysis for tracking of chronic patients' treatment goals achievement and optimal routing to GP or cardiologist ✜ Enhancement of heart health check-ups with digital cardiovascular assessment ✜ Reduction ofGP'stime for 120+ patient characteristics assessment to 1 min vs 40 min, enabling high-quality communication withpatient ✜ Accurate medicine procurement planning taking into account evidence-based treatment approach and patient's comorbidities
HEALTH AUTHORITIES Quality of medical care improvement and costs reduction
✜ Risk assessment for identification of patients not achieving treatment goals ✜ AI prediction of indicators missing in theEHR andselection ofpatients with prognostic deviations inLDL-C,EF and GFR ✜ Management ofhigh-risk chronicCV patients through treatment strategy recommendationfor optimal treatment achievement
PUBLIC AND PRIVATE CLINICS +30% additional consultations and tests for treatment target achievement
✜ Automatization of EHRs analysis for tracking of chronic patients' treatment goals achievement and optimal routing to GP or cardiologist ✜ Enhancement of heart health check-ups with digital cardiovascular assessment ✜ Reduction ofGP'stime for 120+ patient characteristics assessment to 1 min vs 40 min, enabling high-quality communication withpatient ✜ Accurate medicine procurement planning taking into account evidence-based treatment approach and patient's comorbidities